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Table 2 Included articles

From: Economic globalization, nutrition and health: a review of quantitative evidence

 

Included Articles

Methods

Definition of trade liberalization

Outcome variable

Region

Years

Main findings

Type of evidence

1

(de Soysa and de Soysa, 2017)

Multivariate regression using country-level panel data

KOF index of globalization. Analyse trade openness and FDI components separately

Prevalence of obesity in young people aged 2–19 from GBD study

180 countries

1990–2013

Trade openness and economic globalization result in lower obesity rates among the younger groups of population

BABCA

2

(Oberländer, Disdier, and Etilé, (2016)

Multivariate regression using country-level panel data

KOF index of globalization. Economic and social components analysed separately

Prevalence of diabetes; BMI; markers of dietary quality (animal protein, free fat, sugar)

70 countries

1970–2011

Economic globalization negatively impacts health outcomes; socio-cultural globalization increases supplies of animal protein and sugar

BAACA

3

(Costa-Font and Mas, (2016)

Multivariate regression using country-level panel data

KOF index of globaliztion; economic and social components analysed separately; CSGR index

Prevalence of obesity

26 HIC

1989–2004

Globalization significantly increases obesity; economic component reduces obesity (effect non-significant when accounting for various controls and potential mechanisms); social component increases obesity

BAACA

4

Goryakin et al., (2015)

Multi-country multi-level panel data controlling for both individual and country-level covariates.

KOF index of globalization and sub-components (economic, political, social)

Overweight and obesity

56 countries

1991–2009

Globalization increases overweight, but the social and political components are the most relevant

ABBAA

5

Miljkovic et al., (2015)

Multivariate regression using country-level panel data

FDI; trade openness; Global Socialization Index (GSI)

Prevalence of obesity

76 countries

1986–2008

Trade openness increases obesity in the fixed effects specification, but not in the quantile regression. FDI and GSI increase obesity for least developed countries, where obesity rates are low

BABCB

6

Sudharsanan,et al., (2015)

Non-parametric correlation and multivariate first-difference regression estimates

FDI

prevalence of diabetes in 10-year age groups

both HIC and LMIC

1990, 2000, 2008

Once ageing in population is taken into account, there is no evidence of FDI or other macroeconomic variables such as GDP, having an influence on prevalence of diabetes

BABAC

7

Nandi et al., (2014)

Meta-regression using multi-country cross-sectional individual level data.

Mean tariff percentage averaged 1990–1999. FDI

BMI; odds of being underweight, overweight and obese at the individual level for women in LMIC

40 LMIC

2002–2003

Tariff reduction is associated with lower odds of being underweight. FDI is associated with higher odds of being overweight among rural men only. Higher income is associated to higher odds of being overweight

CAAAC

8

Neuman et al. (2014)

Multi-level modelling using cross-sectional data

FDI, mean tariff levels

BMI; over and under-weight

38

LMIC

1991, 2010

FDI is positively associated with BMI among poorest respondents in rural areas

BAAAB

9

Vogli, R. de et al., (2014)

Multivariate regression using country-level panel data.

KOF index of globalization (economic component)

BMI

127 countries

1980–2008

Globalization is positively associated to an increased BMI. Inequality also shows a positive association in high-income countries

BABCA

10

Schram, Labonte, and Sanders (2013)

Trend analysis and Structural Equation Modelling using multi-country cross-sectional data

KOF index of economic globalization

CVD, overweight, obesity

39 countries

2008 for SEM

Economic globalization negatively impacts all health outcomes.

CAACC

Context-relevant proxies of nutrition outcomes

11

Jenkins and Scanlan (2001)

Multivariate regression analysis with country-level panel data.

Foreign investment, dependence on primary exports

Child undernutrition (weight-for-age), per capita energy and protein availability

88 less developed countries

1970–1990

There is a negative association between dependence on non-service exports and energy supply but this is non-significant after controlling for other economic variables. Neither FDI nor export dependence have an impact on child underweight

BAACA

12

Dithmer and Abdulai (2017)

Multivariate regression using country-level panel data.

Trade openness

energy consumption; diet diversity; diet quality

151 countries

1980–2007

Trade openness increases average dietary energy consumption, dietary diversity and indicators of dietary quality

BAACA

13

Baker et al. (2016)

Difference-in-difference/Natural experiment

Ratification and enforcement of FTA with US

per capita sales of soft drinks

Peru

1999–2013

The study finds a diversification of soft drinks. Sales of carbonated drinks stagnate, but bottled water, sports and energy drinks increase

AACCC

14

Schram A, Labonte R et al., (2015)

Difference-in-difference/Natural experiment

Adoption of trade agreement, FDI

Consumption of carbonated beverages

Vietnam and Philippines

1995–2012

The adoption of a trade agreement increases per-capita sales of beverages

AACCA

15

Ogundari, (2015)

Multivariate regression using country-level panel data.

Trade openness

Nutrient supply, calories, proteins, fat

43 countries

1975–2009

Trade openness seems to contribute to nutrient supply convergence in Sub-Saharan Africa

BACCA

16

Zakaria (2014)

Multivariate regression analysis using country-level panel data

Trade openness

Per capita availability of energy, fat

5 South Asian countries

1972–2013

Trade openness and tariff reductions are associated with increased energy availability per capita

BACCA

17

Bezuneh and Yiheyis, (2014)

Multivariate regression analysis using country-level panel data

Implementation of liberalization policies (defined through dummy variables)

Per capita dietary energy supply

37 developing countries

1980–2000

The removal of trade barriers is associated to short-term falls in nutrient availability per capita, with positive longer-term effects and insignificant “net” impacts

BACCC

18

Stuckler et al. (2012)

Multivariate regression analysis.

FDI, trade agreement with US

Sales per capita of sugar-sweetened beverages (SSB)

44 LMIC

1997–2010?

Both FDI and trade agreements with US increase sales per capita of SSB. Economic growth in the absence of FDI does not increase sales of SSB

BACCC

19

Djokoto (2012)

Cointegration analysis, time series using country-level data

FDI into agricultural sector

Per capita dietary energy supply

Ghana

 

FDI into the agricultural sector is detrimental for food security in Ghana

BACCC

20

Mihalache and O’Keefe (2011)

Cointegration analysis, time series using country-level data

FDI into primary sector, manufacturing and service sector

Per capita dietary energy supply

56 LMIC

1981–2001

FDI into the primary sector is detrimental for food security. FDI into manufacturing improves food security, FDI into services has ambiguous effects

BACCA

21

Del Ninno and Dorosh (2003)

Natural experiment. The authors compare three episodes of intense floods, their impact on crops, availability and price of rice, and calorie intake of affected households compared to those not affected

Liberalization of private-sector rice imports from India, in the early 1990s

Daily energy intake per capita

Bangladesh

1977, 1988, 1998

In the absence of private sector imports, per capita consumption of the rural poor would have decreased by 44 to 109 Kcal/Day, (out of an average of 1636). Public interventions including price stabilization and transfers also play an important role

AACCA

22

Wimberley and Bello (1992)

Multivariate regression analysis using country-level panel data

Primary export dependence; Transnational Company (TNC) investment

Per capita energy, and protein availability, total and from vegetable sources

59 third world countries

1967–1985

There is evidence of a negative association between FDI and nutrition-related outcomes in developing countries, as well as a much smaller negative association for dependence on non-service exports

BACCA

23

Wimberley (1991)

Multivariate regression analysis using country-level panel data

TNC investment

Per capita energy and protein availability

60 Third World Countries

1970–1985

There is a strong negative association between FDI and per capita availability of energy and protein in developing countries

BACCA

24

Gacitúa & Bello (1991)

Multivariate regression analysis using country-level panel data

Non-service exports as a proportion of GDP

Per capita energy, protein availability total and from vegetable; Z-score standardized measure of calorie and protein consumption

15 Latin-American Countries

1967–1985

This study finds a negative association between dependence on non-service exports and per capita supply of energy and proteins in Latin America

BACCC

Key literature reviews

1

Barlow et al., (2017)

Systematic review

Adoption of trade and investment agreements

Health outcomes, risk factors

 

Trade and investment agreements can increase risk factors for NCD (beverage consumption) while also affecting protective factors (public health policies). However, certain agreements can increase access to patented medicines, with positive impacts on health

 

2

Baker P, Kay A, Walls H. (2014)

Semi-structured review

Trade liberalization, trade and investment agreements, others

prevalence of NCDs and main risk factors

ASEAN+ 3, India

Trade liberalization can promote NCD through two main pathways: increasing access to unhealthy products and constraining governments’ space to promote health

 

3

Friel et al., (2013)

Review of literature and pathway mapping

Trade liberalization, trade and investment agreements, others

NCDs, obesity

Not restricted

The authors identify several pathways through which trade liberalization can affect NCD

 

4

McCorriston S et al. (2013)

Systematic Review

Various. Trade and related policies

Food Security

Developing Countries

The authors find mixed evidence and a strong context-dependence of associations and impacts

 
  1. Type of evidence. Design (A: natural experiment, B:longitudinal/time-series-cross-sectional (TSCS) or time series, C: cross-sectional); Statistical analysis (A: structural equation modelling, reduced-form regression, time-series analysis, other, B: simple one-on-one correlations, C: descriptive) Type of outcome variable (A: Uses several related outcome variables including prevalence or status of dietary-related disease as well as relevant proxies, B: Nutrition outcomes: Prevalence/status of diet-related disease (CVD, diabetes or others). Relevant biomarkers (obesity, underweight or overweight, BMI), C: Context-relevant proxies for nutrition outcomes: per capita consumption of key foods/nutrients); Data (A: Both individual and country-level outcome variables, B: Individual-level outcomes, C: Country-level outcome variables); Sensitivity analysis (A: Thorough: on outcome variables / regressors as well as on model specification and outliers, B: Some sensitivity analysis (eg. on regressors), C: No) See Additional file 2. *The category longitudinal/TSCS would include both studies that follow a sample of individuals over time, and those that include repeated observations at the country level, studying change over time with the country as unit of analysis